Data Scientist

India

Job Location: [Mohali / Pune]

Experience: 4+ years

Skill Sets:

Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow)
Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models
Strong experience in NLP, fine-tuning transformer models, and dataset preparation
Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)
Experience in containerization (Docker, Kubernetes) and CI/CD pipelines
Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)
Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

Roles & Responsibilities:

Design and implement end-to-end ML pipelines from data ingestion to production
Develop, fine-tune, and optimize ML models, ensuring high performance and scalability
Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc)
Automate model retraining, monitoring, and drift detection
Collaborate with engineering teams for seamless ML integration

Mentor junior team members and enforce best practices

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